This study investigated the effect of data analytics on marketing communication performance of Nigerian organizations based on insights from JCDecaux Nigeria in Lagos state. The methodology of the study was based on quantitative research approach based on sample size of one hundred (100) respondents selected through multistage sampling techniques was consisting of purposive sampling technique to select the organization of choice (JCDecaux Nigeria and its employees in Lagos state and convenience sampling technique was used to select individual respondents. The data in this study was analysed using frequency distribution, simple percentages and means as descriptive statistics while Pearson Correlation analysis was used to test the hypotheses using Statistical Package for Social Sciences (SPSS). The results indicated that there is significant effect of data analytics on conversion rate of marketing communication in JCDecaux Nigeria in Lagos state based on the hypotheses one tested and indicated by R square value of 84.6%. Also, there is significant effect of data analytics on advertising effectiveness in JCDecaux Nigeria in Lagos state, based on the hypotheses two tested and indicated by R square value of 71.4%. Finally, data analytics has significant effect on revenue generation in JCDecaux Nigeria in Lagos state, based on the hypotheses three tested and indicated by R square value of 92.2%. This study concluded that data analytics plays significant role in affecting marketing communication performance of JCDecaux Nigeria in Lagos state. This is based on the consideration that data analytics from customer information assists in improving customer conversion rate, advertising effectiveness and overall revenue generation, based on the fact that organizations can effectively tailor marketing communication to customers. In view of the findings and conclusion, this study recommended among other things that organizations and management should develop strategic marketing communication that are well aligned with the unique characteristics of customer information from data analytics.
The study investigated sustainability marketing and organisational sales results in the food and beverage companies based on a study of Nigerian Bottling Company Plc in Lagos State. The study adopted a quantitative research method in terms of a descriptive research strategy using a survey method. A sample of 337 respondents was chosen through purposive sampling technique and convenience sampling technique to select respondents from the Nigerian Bottling Company Plc headquarters in Ebute Metta and Agidingbi areas of Lagos State. Data collection was done through a designed questionnaire and was analysed through the utilisation and employment of frequency distribution, simple percentages, means, standard deviations and regressionre analysis. The findings and outcomes from the data analysis indicated that social responsibility, economic responsibility and environmental responsibility have a significant positive influence on the sales performance of the Nigerian Bottling Company Plc in Lagos State. It was therefore concluded that sustainability marketing has a significant positive influence on organisational sales performance in the Nigerian Bottling Company Plc in Lagos State. In consensus with the results and conclusion of this work, it was recommended among other things that sustainability marketing strategy should be done in a meaningful manner that creates value for the communities and society, shareholders and investors as well as the environment in which the Nigerian Bottling Company in Lagos State operates.
The study investigates the impact of team building on organisational productivity. The objective of this study is to evaluate the impact of team building among the members of the selected case study and to assess the effect of training and retraining of team members on organisational productivity. The study also x-rayed the absence of team building in a workplace which led to low levels of turnover and productivity. the total population of the study was 750 while researcher employed Yaro Yamane sampling technique to select sample size of 261 because of the large population and hypothesis were tested using Pearson correlation. The finding revealed that if members of the team can work in synergy without considering the differences in the likes of level of educational background and others, the expected productivity will be very high. It was also observed that capabilities of team leader in carrying out the assigned task determined its output especially if the team leader understands the technical knowhow of job and he is friendly with co-team members with a lot of motivation, that this would definitely enhance employees’ efficiencies and productivities. The study recommends that team members should trust, support and respect one another individual differences in order to accomplish group common goals and tasks.
Rework is the repetition of work that constitutes waste in construction and reflects poor performance due to the failure of building components to satisfy the client’s requirement and contract documentation’s provision, which further results in cost and time overrun. In lieu of the nature of the subject matter, this study comparatively assessed rework occurrence on buildings in Akure municipal, Ondo state, Nigeria to ensure the building works proneto rework are carried out with utmost care and control to drastically reduce rework cost. A total of eighty-three (83) well-structured closed-ended questionnaires were distributed and the retrieved seventy (70) questionnaires formed 84% response rate. Primary data were obtained from 10 construction firms and 60 end-user clients using purposive and snowball sampling. Data collected from the retrieved questionnaires were on the defects in building components due to non-conformance to specification and client requirement and perception on the frequency of occurrence and cost of rework on buildings. The data were analysed using frequency, percentage, Relative Importance Index (RII), Mean Item Score, Mann-Whitney U Test and Spearman’s Rank Correlation Coefficient. A descriptive analysis of the defects on building components from the end-user clients and construction professionals’ perception revealed plumbing and sanitary system and electrical services as the most defective, respectively. Further analysis of theparameters shows a significant difference between the opinions of the end-user clients and professionals on the defects in the electrical appliances and installation; corrosion and discolouration of components; doors and accessories and ceiling and accessories. However, no significant difference exists between the overall opinions of the end-user clients and the construction professionals on building component defects. The result of the conducted analysis further showed that an increase in the frequency ofrework on finishes and mechanical installations could speed up rework cost. This study, therefore, affirms the stakeholders’ need to avoid rework occurrence on services components (mechanical and electrical), concrete works and finishes to experience a rapid decline in the cost of rework. The study contributed to the overall body of knowledge by establishing building components with high rework occurrence and their corresponding effect on cost from the perception of the end-user clients and built environment professionals.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.